Animated Gapminder Data
For a demonstration of plot that we animate to view evolution over time, see Figure 1.
Code
import plotly.express as px
gp = px.data.gapminder()
px.scatter(gp, x="gdpPercap", y="lifeExp",
animation_frame="year", animation_group="country",
size="pop", color="continent", hover_name="country",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90])
Linked Viz for Gapminder Data
For a demonstration plots that allow for interactive views of feature variation, see Figure 2.
Code
import altair as alt
import math
continent_selection = alt.selection_point(
fields=['continent'],
bind='legend'
)
points = alt.Chart(gp).mark_point().encode(
alt.X('gdpPercapLog', scale=alt.Scale(domain=[4, 12])),
alt.Y('lifeExp', scale=alt.Scale(domain=[20, 90])),
color='continent'
).add_params(
my_si,
continent_selection
).transform_filter(
continent_selection
)
barsX = alt.Chart(gp).mark_bar().encode(
alt.X('gdpPercapLog', bin=True, scale=alt.Scale(domain=[4, 12])),
y='count()',
color='continent'
).transform_filter(
my_si
).transform_filter(
continent_selection
)
barsY = alt.Chart(gp).mark_bar().encode(
alt.Y('lifeExp', bin=True, scale=alt.Scale(domain=[20, 90])),
x='count()',
color='continent'
).transform_filter(
my_si
).transform_filter(
continent_selection
)
chart = alt.vconcat(
barsX,
alt.hconcat(points, barsY)
)
chart.show()